{"id":"W2035551361","doi":"10.1007/s00198-015-3071-8","title":"Peripheral quantitative computed tomography (pQCT) reveals low bone mineral density in adolescents with motor difficulties","year":2015,"lang":"en","type":"article","venue":"Osteoporosis International","topic":"Children's Physical and Motor Development","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Princess Margaret Hospital Foundation","keywords":"Quantitative computed tomography; Medicine; Bone mineral; Bone density; Orthopedic surgery; Osteoporosis; Population; Standard score; Tibia; Incidence (geometry); Peripheral; Nuclear medicine; Orthodontics; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002027123,0.0003788695,0.0003224058,0.001389236,0.000306598,0.0003770294,0.0003281695,0.00064109,0.001973794],"category_scores_gemma":[0.001910596,0.0003214994,0.0001607682,0.0007435221,0.0003428488,0.0002467303,0.000306204,0.0004276895,0.0002478862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077022,"about_ca_system_score_gemma":0.0002771874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005424509,"about_ca_topic_score_gemma":0.004572412,"domain_scores_codex":[0.9998486,0.00001971146,0.00002191526,0.00002093662,0.00004448621,0.00004433315],"domain_scores_gemma":[0.9995571,0.0001416725,0.0001197566,0.00001147644,0.00006520998,0.0001048632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000130486,0.0001175751,0.9745758,0.00002605055,0.00001295691,0.01764054,0.0002424309,0.00006039285,0.002550521,0.00005271448,0.0002442841,0.00434611],"study_design_scores_gemma":[0.00001049395,0.0001430211,0.9645972,0.00001709295,0.00002693303,0.03363023,0.0005574804,0.0002518978,0.0005218326,0.00005926958,0.0001813466,0.000003124796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984987,0.0002497864,0.00007450837,0.00008723838,0.000004556797,0.00000591964,0.000054101,0.000009064909,0.001016336],"genre_scores_gemma":[0.9996119,0.0001003046,0.00006860004,0.0000269556,0.00000538707,0.000003576075,0.00003865356,0.000001971646,0.0001426853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005424509,"threshold_uncertainty_score":0.01078588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180062321280767,"score_gpt":0.2699632582709637,"score_spread":0.251957026142887,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}